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Figure 617 shows two chromosomes consisting of two parts, one for the processor allocation and one for the global node list They encode the scheduling of the sample task graph (eg, Figure 616(a)) on three processors In this case, the node lists are in precedence order Beneath the chromosomes, the corresponding schedules are depicted It goes without saying that many other chromosome encodings are possible Strictly speaking, it is not necessary to know the absolute order of the nodes It suf ces to have partial orders of the nodes allocated to each processor Such an encoding is reported by Hou et al [92], which is further improved by Correa et al [43, 44] Zomaya et al [213] employ a similar encoding Wu et al [206], use lists of node processor pairs The order of the pairs establishes the node order This encoding can be very useful in combination with node duplication, as a node can be allocated to more than one processor See also Exercise 610, which asks you to suggest a chromosome encoding for task scheduling with node duplication Comparison of Representation Types An essential difference between the direct and indirect representation types of chromosomes is their ability to represent an optimal schedule As mentioned before, from Theorem 51 it is known that the processor allocation and the node order of an optimal schedule are enough to reconstruct a schedule of optimal length Therefore, it is guaranteed that the optimal solution is situated in the search space of GAs with direct representation In contrast, from Section 52 it is known that scheduling with a given processor allocation is still NP-hard So if the chromosome encodes only the processor allocation, the GA based scheduling algorithm is still faced with an NP-hard problem for each chromosome Heuristic decisions taken for ordering the nodes cannot guarantee that an optimal schedule will be obtained, even if the processor allocation is optimal Equally, nding the optimal processor allocation for a node ordering given by a chromosome is also NP-hard To realize this, just consider the.



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Duration: 15:57 Posted: Jan 2, 2016

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20:20

where f ** is the concave hull of f (compare Eq. (20.13)2). The questions are when and for which the equality f ** f holds. A simple application of the LDP theorem of Gartner Ellis [7] provides an answer to these questions under the assumption that q is differentiable everywhere (see Riedi [27]). In this particular case, we obtain the appealing formula f * q q at H q : 20:21

Since q is the Legendre transform of f , it must always be concave. This follows also from the fact that Sn q is a log-convex function of q. Consequently, q is differentiable in almost all q a priori. For FGN, however, we obtain the degenerate case of a concave function: with probability one, we have q qH 1; q > 1: 20:22





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12 Aug 2019 ... Tesseract : Simple Java Optical Character Recognition ... For these tasks, Optical Character Recognition ( OCR ) was devised as a way to allow ...

Figure 617 Two examples of chromosomes (top) that encode both processor allocation and node list for the scheduling of the sample task graph (Figure 616(a)) on three processors, and the schedules they represent (bottom)

This is consistent with the fact that t H for all t; that is, the set KH has dimension 1. Formula (20.22) can be guessed directly from ergodicity and selfsimilarity: Sn q 9

EjY k 1 2 n Y k2 n jq % 2n nqH EjY 1 jq :

Class les carry a lot of information from the original source le, needed for dynamic linking. This makes it fairly straightforward to take a class le and reverse-compile it into a source le that bears an uncanny resemblance to the original, including names of classes, methods and variables. Obfuscators are intended to make this reverse compilation process less useful. However, they also use a variety of techniques to reduce code size and, to a lesser extent, enhance performance, for example by removing unused data and symbolic names from compiled Java classes and by replacing long identi ers with shorter ones.

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10 Mar 2017 ... This quick Java app uses the Tesseract library to help turn images into text. ... the tessdata-master folder from https://github.com/ tesseract - ocr /tessdata. Unzip the content of tessdata-master.zip file in your main project folder (for ...

2 The factors 2n appearing in f and q are for convenience. The sign of q is chosen such as to render Eqs. (20.20) and (20.19) symmetrical. The signs of q in (20.13) and (20.20) are opposite to each other.

scheduling of independent nodes, P||Cmax , which is NP-hard, although the node order is irrelevant Once again, heuristic decisions taken to allocate the nodes cannot guarantee that an optimal schedule will be obtained, even if the node order is optimal It follows that it is not guaranteed for GAs with indirect representation that the optimal solution lies in their search space In other words, the direct representation permits one to re ect an optimal solution, while the indirect representation sometimes cannot This advantage of the direct representation comes with a price, however First, by having two very different parts, the simplicity of the chromosome is lost Second, as a direct consequence, more complex crossover and mutation operators must be employed Essentially, a separate operator must be used for each part, because they are of different type one is value encoded, the other is permutation encoded Last but not least, the search space of the GA increases dramatically in comparison to the simpler indirect representation chromosomes The total number of possible values is the product of the possible values of each part

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This article will introduce you the 3 best open source OCR programs and teach you how to OCR scanned PDF files in a hassle-free way.

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There is no pure Java OCR libraries that have something to do with accuracy. Depending on your budget you may choose something that is not purely Java, but can be called from Java: If you have plenty of time but zero budget - your choice is Tesseract.












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